MACOM Technology Solutions Holdings (MTSI) Accumulated Expenses (2011 - 2026)
MACOM Technology Solutions Holdings' Accumulated Expenses was $87.53 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 20.8% from $72.47 million a year earlier and up 0.7% from the prior quarter.
MACOM Technology Solutions Holdings (MTSI) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Accumulated Expenses at MACOM Technology Solutions Holdings came in at $95.96 million, up 49.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $64.34 million in FY2024 (+12.1%), $57.4 million in FY2023 (-12.3%), $65.48 million in FY2022 (+3.3%) and $63.37 million in FY2021 (-0.4%).
- Quarterly Accumulated Expenses has moved between $55.28 million (fiscal Q2 2023) and $95.96 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 17.7% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2025 (growth of 49.2%); the worst was fiscal Q4 2023 (a decline of 12.3%).
- Per Business Quant data, MTSI's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $86.9 million (Q2 2026), $79.57 million (Q1 2026) and $95.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,258.66 Bn | 5,032.83 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,186.01 Bn | 1,810.88 Bn | 27.22 Bn |
| 3 | Broadcom | 1,641.55 Bn | 1,567.60 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,047.64 Bn | 953.27 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 917.54 Bn | 874.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 643.92 Bn | 599.61 Bn | 5.90 Bn |
| 7 | Intel | 487.69 Bn | 356.82 Bn | 6.51 Bn |
| 8 | Lam Research | 348.49 Bn | 325.29 Bn | 3.48 Bn |
| 9 | Applied Materials | 342.16 Bn | 307.60 Bn | 4.59 Bn |
| 10 | MACOM Technology Solutions Holdings | 20.75 Bn | 17.86 Bn | 199.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 87.53 Mn |
| Apr 3, 2026 | 86.90 Mn |
| Jan 2, 2026 | 79.57 Mn |
| Oct 3, 2025 | 95.96 Mn |
| Jul 4, 2025 | 72.47 Mn |
| Apr 4, 2025 | 76.08 Mn |
| Jan 3, 2025 | 66.49 Mn |
| Sep 27, 2024 | 64.34 Mn |
| Jun 28, 2024 | 61.99 Mn |
| Mar 29, 2024 | 63.56 Mn |
| Dec 29, 2023 | 74.68 Mn |
| Sep 29, 2023 | 57.40 Mn |
| Jun 30, 2023 | 57.99 Mn |
| Mar 31, 2023 | 55.28 Mn |
| Dec 30, 2022 | 57.10 Mn |
| Sep 30, 2022 | 65.48 Mn |
| Jul 1, 2022 | 57.73 Mn |
| Apr 1, 2022 | 62.38 Mn |
| Dec 31, 2021 | 62.33 Mn |
| Oct 1, 2021 | 63.37 Mn |
MACOM Technology Solutions Holdings Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=MTSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MTSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=MTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();